β-Sheet Richness of the Circulating Tumor-Derived Extracellular Vesicles for Noninvasive Pancreatic Cancer Screening

Komila Rasuleva, Santhalingam Elamurugan, Aaron Bauer, Mdrakibhasan Khan, Qian Wen, Zhaofan Li, Preston Steen, Ang Guo, Wenjie Xia, Sijo Mathew, Rick Jansen, Dali Sun

Research output: Contribution to journalArticlepeer-review

21 Scopus citations

Abstract

Tumor-derived extracellular vesicles (EVs) are under intensive study for their potential as noninvasive diagnosis biomarkers. Most EV-based cancer diagnostic assays trace supernumerary of a single cancer-associated marker or marker signatures. These types of biomarker assays are either subtype-specific or vulnerable to be masked by high background signals. In this study, we introduce using the β-sheet richness (BR) of the tumor-derived EVs as an effective way to discriminate EVs originating from malignant and nonmalignant cells, where EV contents are evaluated as a collective attribute rather than single factors. Circular dichroism, Fourier transform infrared spectroscopy, fluorescence staining assays, and a de novo workflow combining proteomics, bioinformatics, and protein folding simulations were employed to validate the collective attribute at both cellular and EV levels. Based on the BR of the tumorous EVs, we integrated immunoprecipitation and fluorescence labeling targeting the circulating tumor-derived EVs in serum and developed the process into a clinical assay, named EvIPThT. The assay can distinguish patients with and without malignant disease in a pilot cohort, with weak correlations to prognosis biomarkers, suggesting the potential for a cancer screening panel with existing prognostic biomarkers to improve overall performance.

Original languageEnglish (US)
Pages (from-to)4489-4498
Number of pages10
JournalACS Sensors
Volume6
Issue number12
DOIs
StatePublished - Dec 24 2021
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2021 The Authors. Published by American Chemical Society.

Keywords

  • PDAC
  • collective attribute
  • extracellular vesicles
  • protein structure
  • β-sheet

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